Objectives: Living in low socioeconomic conditions during childhood is associated with poor health outcomes in later life. Whether this link also applies to cancer is unclear. We examined whether childhood socioeconomic conditions (CSCs) are associated with cancer risk in later life and whether this effect remained after adjusting for adulthood socioeconomic conditions (ASCs).Methods: Data for 26,431 individuals ≥ 50 years old included in SHARE were analysed. CSCs were constructed by using indicators of living conditions at age 10. ASC indicators were education, main occupation, and household income. Gender-stratified associations of CSCs with cancer onset (overall and by site) were assessed by Cox regression.Results: In total, 2852 individuals were diagnosed with cancer. For both men and women, risk of overall cancer was increased for advantaged CSCs and remained so after adjusting for ASCs (hazard ratio = 1.36, 95% CI 1.10, 1.63, and 1.70, 95% CI 1.41, 2.07).Conclusions: Advantaged CSCs are associated with an increased risk of overall cancer at older age, but results vary by cancer sites and sex. Participation in cancer screening or exposure to risk factors may differ by social conditions.

Objectives: We theorize and test the health of older adults as a result of their activity engagement, as well as a product of their spouse's engagement. Method: We draw on 15 waves of couple-level data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. Using responses of time engaged in nine different activities, we estimate Latent Class Models to describe activity profiles of partnered older adults. Given potential health selections into activity engagement, we lag older adults' activity engagement by one wave to examine its association with subsequent health. We then investigate associations between the lag of the spouse's activities with respondents' health, controlling for their own activity engagement at the previous wave. Result: We find four activity profiles for men, and three for women. Respondents who were predominantly engaged in community activities generally report better subsequent health. Beyond their own activity engagement, for both older men and women, having a partner who was also community engaged associate with better subsequent health, though for older women, there were little differences between having a husband who was community engaged or inactive. Discussion: Our findings highlight the value of considering activities of partnered older adults at the couple level.

Objective: This study investigated the variability in activities of daily living (ADL) trajectories among 6,155 nursing home residents using unique and rich observational data. Method: The impairment in ADL performance was considered as a dynamic process in a multi-state framework. Using an innovative mixture model, such states were not defined a priori but inferred from the data. Results: The process of change in functional health differed among residents. We identified four latent regimes: stability or slight deterioration, relevant change, variability, and recovery. Impaired body functions and poor physical performance were main risk factors associated with degradation in functional health. Discussion: The evolution of disability in later life is not completely gradual or homogeneous. Steep deterioration in functional health can be followed by periods of stability or even recovery. The current condition can be used to successfully predict the evolution of ADL allowing to set and target different care priorities and practices.